@rohanpaul_ai: Open models have had a distribution problem. Putting weights or an API online makes them available, but it doesn't put …
Summary
The tweet discusses the distribution challenges of open AI models and highlights how Bolt Forge integrates multiple models, with usage statistics showing GLM 5.3 Flash leading due to latency and cost advantages.
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Cached at: 09/18/26, 08:34 AM
Open models have had a distribution problem.
Putting weights or an API online makes them available, but it doesn’t put them into a developer’s workflow.
@boltdotnew Forge is an example of what happens when that distribution friction disappears.
4 open models sit inside the same picker, in a product used by 11M+ builders, and GLM 5.3 Flash has taken 54% of Bolt Forge prompts so far.
while DeepSeek V4 Pro, GLM 5.3, and Kimi K3 split the rest.
tells us that inside a build loop, capability competes with latency, cost, and how much inference budget the product gives you. The model that is theoretically stronger on one benchmark can still be less attractive if every iteration is slower or more expensive.
bolt.new (@boltdotnew): 11M+ people build on Bolt. On Monday, we gave them open models with up to 50x usage.
Which is #1 so far? The fastest, cheapest one, with prompts up to 2x the size.
🥇 GLM 5.3 Flash 54% 🥈 DeepSeek V4 Pro 17% 🥉 GLM 5.3 15% 👏 Kimi K3 14%
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